Control space operating system

{
  "publication_number": "US12382886B2",
  "country": "US",
  "kind": "B2",
  "title": "Control space operating system",
  "abstract": "A control space operating system. The system includes a control space with one or more data source zones and a control space manager. The control space manager can collect data and control different variables across different data source zones in order to determine optimal policies and conditions for data source growth and generation.",
  "claims": [
    "1. A control space operating system, the system comprising: a control space comprising: one or more variable controllers configured for adjusting one or more variables in the control space; one or more sensors for gathering data; and one or more data source zones, each data source zone configured to house a data source that provides data to the one or more sensors; and a control space manager configured to: based on a desired degree of variability in data to be obtained from the one or more data source zones, adjusting values of one or more control space variables to introduce different degrees of variability across different data source zones, further comprising introducing greater variability for at least one data source zone compared to at least one other data source zone, including generating a plurality of datasets exhibiting a degree of variability that supports one or more machine learning models; and collect or store data gathered from the one or more sensors.",
    "2. The system of claim 1, wherein the one or more variables includes nutrient mixtures.",
    "3. The system of claim 1, wherein each data source zone allows full control over lighting conditions in the data source zone, independent of other data source zones.",
    "4. The system of claim 1, wherein each data source zone includes zonal light emitting diodes (LEDs) or zonal shades for adjusting light in each data source zone.",
    "5. The system of claim 1, wherein the one or more variables includes humidity.",
    "6. The system of claim 1, further comprising utilizing a mobile robot to sense data.",
    "7. The system of claim 1, wherein the control space includes a designated centralized sensing area to which data sources are transported for sensing data.",
    "8. The system of claim 1, further comprising utilizing one or more data signals in determining an optimal policy for determining variable settings for data source zones, wherein the one or more data signals include labor time, utility cost, or sensor data.",
    "9. The system of claim 1, wherein data gathered from the control space is transmitted to a cloud manager that aggregates data from multiple control spaces and facilitates generation of aggregated control space policies for use by the control space manager.",
    "10. The system of claim 1, wherein each data source zone is configured for zonal carbon dioxide (CO2) emission control."
  ],
  "description_excerpt": "The present disclosure relates generally to agriculture, and more specifically to growspace farming systems.\n\nAgriculture has been a staple for mankind, dating back to as early as 10,000 B.C. Through the centuries, farming has slowly but steadily evolved to become more efficient. Traditionally, farming occurred outdoors in soil. However, such traditional farming required vast amounts of space and results were often heavily dependent upon weather. With the introduction of greenhouses, crops became somewhat shielded from the outside elements, but crops grown in the ground still required a vast amount of space. In addition, ground farming required farmers to traverse the vast amount of space in order to provide care to all the crops. Further, when growing in soil, a farmer needs to be very experienced to know exactly how much water to feed the plant. Too much and the plant will be unable to access oxygen; too little and the plant will lose the ability to transport nutrients, which are typically moved into the roots while in solution.\n\nOne disadvantage of traditional farming is the lack of control over the environment and growing conditions. With the advent of growspaces, external environmental factors, such as weather, can be removed. However, current growspaces are still inefficient because of the lack of modular or zonal control within a growspace. Improvements to growth are discovered through trial and error experimentation. In addition, lessons are usually learned in a research and development (R&D) facility independent from production.",
  "cpc": [
    "A01G 31/02",
    "A01G 25/09",
    "A01G 25/16",
    "A01G 27/00",
    "A01G 27/001",
    "A01G 27/003",
    "A01G 27/008",
    "A01G 7/02",
    "A01G 7/045",
    "A01G 9/0299",
    "A01G 9/143",
    "A01G 9/24",
    "A01G 9/247",
    "A01G 9/26",
    "A01M 7/0025",
    "A01M 7/0089",
    "B25J 11/00",
    "B60P 3/30",
    "F24F 11/00",
    "G05B 19/042",
    "G05B 19/0426",
    "G05B 2219/23133",
    "G05B 2219/2625",
    "G05D 1/0214",
    "G05D 1/617",
    "G06F 16/25",
    "G06Q 10/06315",
    "G06Q 50/02",
    "Y02A 40/22",
    "Y02P 60/21"
  ],
  "ipc": [
    "A01G 25/09",
    "A01G 25/16",
    "A01G 27/00",
    "A01G 31/02",
    "A01G 7/02",
    "A01G 7/04",
    "A01G 9/029",
    "A01G 9/24",
    "A01G 9/26",
    "A01M 7/00",
    "B25J 11/00",
    "B60P 3/30",
    "G05B 19/042",
    "G06F 16/25",
    "G06Q 10/0631",
    "G06Q 50/02"
  ],
  "assignees": [
    "Hippo Harvest Inc"
  ],
  "inventors": [
    "Eitan Marder-Eppstein",
    "Wim Meeussen",
    "Alexander Boenig"
  ],
  "filing_date": "2021-02-22",
  "publication_date": "2025-08-12",
  "grant_date": "2025-08-12",
  "priority_date": "2020-02-20",
  "application_number": "US-202117182218-A",
  "family_id": "77365014",
  "cited_by_count": 0,
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}